TANDEM 1.0.2

Fixed a bug in relative.contributions() that decreased the relative contributions for correlated data types (by not taking into account the correlated part). Thanks to Wouter Touw for pointing this out!

TANDEM 1.0.1

Fixed a bug that occurred when using lambda.upstream=“lambda.min” or lambda.downstream=“lambda.min” in tandem(). All regression coefficients were correct, but the intercept was estimated using lambda.1se. This also affected results from predict() or nested.cv() using TANDEM fits where lambda.upstream=“lambda.min” or lambda.downstream=“lambda.min”, negatively affecting the predictive performance.

In addition, I’ve added an option to set lambda=“lambda.min” for the glmnet model in relative.contributions().

TANDEM 1.0.0

First release version!